2 papers
physics.plasm-ph2025
Integration of Machine Learning-Based Plasma Acceleration Simulations into Geant4: A Case Study with the PALLAS Experiment
A. Sytov, K. Cassou, V. Kubytskyi +2
We present the development and integration of a Machine Learning (ML)-based surrogate model, trained on Particle-In-Cell (PIC) simulations of laser-driven plasma wakefield accelera…
physics.plasm-ph2024
Surrogate Models studies for laser-plasma accelerator electron source design through numerical optimisation
G. Kane, P. Drobniak, S. Kazamias +8
Designing a high-quality plasma injector electron source driven by a laser beam relies on numerical parametric studies using particle-in-cell codes. The common input parameters to…